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For the parental allele assignments, we used the genotype values provided by GenomeStudio.
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Single-imputation programs sometimes produce a best-guess value for a missing value using the genotype that has the highest posterior probability.
For traits measured on two samples, we used the average values per genotype to assess heritability and phenotypic correlations.
We used the same values for proportion of the population sampled and genotyping error as in the parentage analysis.
For the pooled reference, we randomly selected 100 female genotype data and used the median intensity values of each data point as a pooled reference value.
Since such low coverage implies that the decoding is more sensitive to genotyping errors, we used the more realistic value of α=0.1%. Figure 9 displays the performance of these designs.
Using this data in conjunction with our FL-Smn data we were able to generate a FL-Smn: Δ7Smn ratio for each genotype using the ΔΔCt values.
Adult male and female genotype frequencies were calculated using the fitness values (WM, WF) of each genotype.
RNA integrity was assessed at the UCLA Sequencing and Genotyping Core using the RIN values calculated on an Agilent 2100 Bioanalyzer (Agilent Technologies).
The allelic effects of the co-localized SW and SL QTLs in the linkage and association populations were estimated using the phenotypic values of the different genotypes for the nearest marker (Table 7, Additional file 1: Table S10).
In contrast to the k-correction, the PPC correction algorithm uses the intensity values of all individually genotyped homozygous AA and BB as well as all heterozygous AB samples as input and fits for each SNP a second-degree polynomial using the relative intensity value of a probe as independent variable.
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